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arXiv Machine Learning By Minh Vu, Andrey Y. Lokhov, Marc Vuffray

Symmetric Linear Dynamical Systems are Learnable from Few Observations

Read the original on arXiv Machine Learning →

arXiv:2512. 05337v2 Announce Type: replace-cross Abstract: We consider the problem of learning the parameters of a $N$-dimensional stochastic linear dynamics under both full and partial observations from a single trajectory of time $T$.

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